Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
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Updated
May 28, 2022 - Jupyter Notebook
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Bitcoin price prediction algorithm using bayesian regression techniques
Insurance cost predictor
Bayesian learning and inference with WebPPL.
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
Bitcoin price prediction algorithm using bayesian regression techniques
Predicting Bitcoin Price Variations using Bayesian Regression
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.
Bayesian Regression Modeling of Layered Archives
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
UQ methods for DL
Complementary repository with data and code for Wolf & Tollefsen, 2021.
DataScienceOverHood
This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.
Bayesian Statistics
Bayesian Regression with automatic regularization or variable selection
Projects, etc.
It is a machine learning project that predict smart watch price. Dataset is created manually from ecommerce site.
ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression
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